Ansari, Sharaf and Prabhu , Srikanth and Kini, Gopalakrishna N and Hegde, Govardhan and Haider, Yusuf (2014) A Survey on Conventional Edge Detection Techniques. International Journal of Scientific Research in Computer Science Applications and Management Studies, 3 (1). ISSN 2319 – 1953

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Abstract

An edge defines a boundary between two homogeneous regions. By highlighting the boundaries it can be used to identify different objects present in an image, therefore it is of integral importance in image processing as it filters out insignificant information from the image. It finds use in important applications such as computer vision and motion detection and 3d reconstruction. In this paper, we review five conventional edge detection methods: Sobel, Canny, Prewitt, Roberts, and Laplacian of Gaussian. We find that Canny edge detection though computationally expensive gives superior results

Item Type:	Article
Uncontrolled Keywords:	Edge detection, Image segmentation, Canny,Sobel
Subjects:	Engineering > MIT Manipal > Computer Science and Engineering
Depositing User:	MIT Library
Date Deposited:	05 Dec 2014 06:09
Last Modified:	05 Dec 2014 06:09
URI:	http://eprints.manipal.edu/id/eprint/141213

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